Soumya Ghosh
Soumya Ghosh
MIT-IBM Watson AI Lab, IBM Research
Verified email at cs.brown.edu - Homepage
Title
Cited by
Cited by
Year
Bayesian nonparametric federated learning of neural networks
M Yurochkin, M Agarwal, S Ghosh, K Greenewald, N Hoang, Y Khazaeni
International Conference on Machine Learning, 7252-7261, 2019
1142019
Spatial distance dependent Chinese restaurant processes for image segmentation
S Ghosh, A Ungureanu, E Sudderth, D Blei
Advances in Neural Information Processing Systems 24, 1476-1484, 2011
882011
Quality of uncertainty quantification for Bayesian neural network inference
J Yao, W Pan, S Ghosh, F Doshi-Velez
arXiv preprint arXiv:1906.09686, 2019
462019
Structured variational learning of Bayesian neural networks with horseshoe priors
S Ghosh, J Yao, F Doshi-Velez
International Conference on Machine Learning, 1744-1753, 2018
432018
Model selection in Bayesian neural networks via horseshoe priors
S Ghosh, F Doshi-Velez
arXiv preprint arXiv:1705.10388, 2017
432017
Assumed density filtering methods for learning bayesian neural networks
S Ghosh, FM Delle Fave, J Yedidia
Thirtieth AAAI Conference on Artificial Intelligence, 2016
322016
Automatic recognition of landforms on Mars using terrain segmentation and classification
TF Stepinski, S Ghosh, R Vilalta
International Conference on Discovery Science, 255-266, 2006
322006
Personalizing gesture recognition using hierarchical bayesian neural networks
A Joshi, S Ghosh, M Betke, S Sclaroff, H Pfister
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017
282017
Automatic annotation of planetary surfaces with geomorphic labels
S Ghosh, TF Stepinski, R Vilalta
IEEE Transactions on Geoscience and Remote Sensing 48 (1), 175-185, 2009
272009
Early prediction of diabetes complications from electronic health records: A multi-task survival analysis approach
B Liu, Y Li, Z Sun, S Ghosh, K Ng
Thirty-Second AAAI Conference on Artificial Intelligence, 2018
252018
From deformations to parts: Motion-based segmentation of 3D objects
S Ghosh, M Loper, E Sudderth, M Black
Advances in Neural Information Processing Systems 25, 1997-2005, 2012
252012
Machine learning for automatic mapping of planetary surfaces
TF Stepinski, S Ghosh, R Vilalta
AAAI, 1807-1812, 2007
222007
A probabilistic disease progression modeling approach and its application to integrated Huntington’s disease observational data
Z Sun, S Ghosh, Y Li, Y Cheng, A Mohan, C Sampaio, J Hu
JAMIA open 2 (1), 123-130, 2019
202019
A general framework for reconciling multiple weak segmentations of an image
S Ghosh, JJ Pfeiffer, J Mulligan
2009 Workshop on Applications of Computer Vision (WACV), 1-8, 2009
202009
Model Selection in Bayesian Neural Networks via Horseshoe Priors.
S Ghosh, J Yao, F Doshi-Velez
J. Mach. Learn. Res. 20 (182), 1-46, 2019
192019
DPVis: Visual analytics with hidden markov models for disease progression pathways
BC Kwon, V Anand, KA Severson, S Ghosh, Z Sun, BI Frohnert, ...
IEEE transactions on visualization and computer graphics, 2020
172020
Nonparametric learning for layered segmentation of natural images
S Ghosh, EB Sudderth
2012 IEEE Conference on Computer Vision and Pattern Recognition, 2272-2279, 2012
172012
Unsupervised learning with contrastive latent variable models
KA Severson, S Ghosh, K Ng
Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 4862-4869, 2019
152019
Complication risk profiling in diabetes care: A bayesian multi-task and feature relationship learning approach
B Liu, Y Li, S Ghosh, Z Sun, K Ng, J Hu
IEEE Transactions on Knowledge and Data Engineering 32 (7), 1276-1289, 2019
102019
Latent projection bnns: Avoiding weight-space pathologies by learning latent representations of neural network weights
MF Pradier, W Pan, J Yao, S Ghosh, F Doshi-Velez
Workshop on Bayesian Deep Learning, NIPS, 2018
102018
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